MATH 3500 - Probability

A mathematical introduction to univariate probability theory with some applications, particularly to statistics. Topics will include the basic rules of probability, conditional probability, independent events, the Law of total probability, Bayes' Theorem, univariate random variables, discrete and continuous distributions and the density function, expectation, variance, higher moments, and special discrete and continuous distributions such as Bernoulli, binomial, Poisson, uniform, exponential, gamma and normal.

Requisites: MATH 2302 and (3050 or CS 3000) and WARNING: No credit for both this course and the following (always deduct credit for first course taken): ISE 3210
Credit Hours: 3.0
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Eligible grades: A-F,WP,WF,FN,FS,AU,I

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